[图书][B] Color in computer vision: fundamentals and applications
While the field of computer vision drives many of today's digital technologies and
communication networks, the topic of color has emerged only recently in most computer …
communication networks, the topic of color has emerged only recently in most computer …
Illumination-robust variational optical flow with photometric invariants
Y Mileva, A Bruhn, J Weickert - … , September 12-14, 2007. Proceedings 29, 2007 - Springer
Since years variational methods belong to the most accurate techniques for computing the
optical flow in image sequences. However, if based on the grey value constancy assumption …
optical flow in image sequences. However, if based on the grey value constancy assumption …
Robust photometric invariant features from the color tensor
J Van De Weijer, T Gevers… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
Luminance-based features are widely used as low-level input for computer vision
applications, even when color data is available. The extension of feature detection to the …
applications, even when color data is available. The extension of feature detection to the …
Point matching under large image deformations and illumination changes
B Georgescu, P Meer - IEEE Transactions on Pattern Analysis …, 2004 - ieeexplore.ieee.org
To solve the general point correspondence problem in which the underlying transformation
between image patches is represented by a homography, a solution based on extensive use …
between image patches is represented by a homography, a solution based on extensive use …
Color subspaces as photometric invariants
Complex reflectance phenomena such as specular reflections confound many vision
problems since they produce image 'features' that do not correspond directly to intrinsic …
problems since they produce image 'features' that do not correspond directly to intrinsic …
Optical flow using color information: preliminary results
Optical flow cannot be completely determined only from brightness information of images,
without introducing some assumptions about the nature of movements in the scene. Color is …
without introducing some assumptions about the nature of movements in the scene. Color is …
Accurate realtime motion estimation using optical flow on an embedded system
Motion estimation has become one of the most important techniques used in realtime
computer vision application. There are several algorithms to estimate object motions. One of …
computer vision application. There are several algorithms to estimate object motions. One of …
Adaptive real-time road detection using neural networks
M Foedisch, A Takeuchi - Proceedings. The 7th International …, 2004 - ieeexplore.ieee.org
We have developed an adaptive real-time road detection application based on neural
networks for autonomous driving. By taking advantage of the unique structure in road …
networks for autonomous driving. By taking advantage of the unique structure in road …
Neural background subtraction for pan-tilt-zoom cameras
A Ferone, L Maddalena - IEEE transactions on systems, man …, 2013 - ieeexplore.ieee.org
We propose an extension of a neural-based background subtraction approach to moving
object detection to the case of image sequences taken from pan-tilt-zoom (PTZ) cameras …
object detection to the case of image sequences taken from pan-tilt-zoom (PTZ) cameras …
Robust optical flow from photometric invariants
J van de Weijer, T Gevers - … on Image Processing, 2004. ICIP'04 …, 2004 - ieeexplore.ieee.org
Optical flow is widely in use in the field of image processing. In general, optical flow is
computed from luminance images. However, optical flow based on luminance information …
computed from luminance images. However, optical flow based on luminance information …